Liaison System and Method for Cloud Computing Environment

ABSTRACT

A liaison system and corresponding method consumerize cloud computing. The system comprises a cloud job manager coupled to a first cloud service provider system, a second cloud service provider system, and a pool of consumer devices allocated for use by the liaison system for cloud computing. The cloud job manager manages a first end user request sent from a first end user device to the first cloud service provider system to perform a first computational job via cloud computing and manages the first end user request by selecting a first consumer device to perform at least a portion of the first computational job and assigning the at least a portion of the first computational job to the first consumer device selected. The cloud job manager manages a second end user request sent from a second end user device to the second cloud service provider system to perform a second computational job via cloud computing and manages the second end user request by selecting a second consumer device to perform at least a portion of the second computational job and assigning the at least a portion of the second computational job to the second consumer device selected.

RELATED APPLICATION

This application claims the benefit of U.S. Provisional Application No.63/126,512, filed on Dec. 16, 2020. The entire teachings of the aboveapplication are incorporated herein by reference.

BACKGROUND

Cloud computing is the delivery of computing services—including servers,storage, databases, networking, software, computing power, etc.—over theInternet (“the cloud”). With cloud computing, a virtualized pool ofresources, from raw compute power to application functionality, is madeavailable to a client, on demand, by a provider. An advantage of cloudcomputing is agility: the ability to apply abstracted versions ofcompute, storage, and network resources to workloads, as needed, and tapinto an abundance of prebuilt services. Cloud computing enables users togain new capabilities without investing in new hardware or software.Instead, users pay their cloud provider a subscription fee or pay foronly the resources they use.

SUMMARY

According to an example embodiment, a liaison system for cloud computingcomprises a cloud job manager coupled to a first cloud service providersystem, a second cloud service provider system, and a pool of consumerdevices. The consumer devices in the pool are allocated for use by theliaison system for cloud computing. The cloud job manager is configuredto manage a first end user request sent from a first end user device tothe first cloud service provider system to perform a first computationaljob via cloud computing. To manage the first end user request, the cloudjob manager is further configured to select a first consumer device toperform at least a portion of the first computational job and assign theat least a portion of the first computational job to the first consumerdevice selected. The cloud job manager is further configured to manage asecond end user request sent from a second end user device to the secondcloud service provider system to perform a second computational job viacloud computing. To manage the second end user request, the cloud jobmanager is further configured to select a second consumer device toperform at least a portion of the second computational job and assignthe at least a portion of the second computational job to the secondconsumer device selected. The first and second consumer devices may bedifferent or same consumer devices from the pool of consumer devices.

The first consumer device may be selected, at least in part, based on atleast one characteristic of the first consumer device and proximity ofthe first consumer device to the first end user device.

The at least one characteristic may include device health information,device capability information, or a combination thereof, fornon-limiting example. The device health information may include resourceutilization, battery power available, battery health, processor load,user application prioritization, data network speed, virtual machine(VM) availability, type of network connectivity, load sharing, deviceavailability information derived from a user profile associated with thefirst consumer device, or a combination thereof, for non-limitingexample. The device capability information may include processorcapability, storage capability, estimate for battery drain over time,other capability information derived from a make and model of the firstconsumer device, or a combination thereof, for non-limiting example.

The second consumer device may be selected, at least in part, based onat least one characteristic of the second consumer device and proximityof the second consumer device to the second end user device. The atleast one characteristic may include device health information, devicecapability information, or a combination thereof, for non-limitingexample. The device health information may include resource utilization,battery power available, battery health, processor load, userapplication prioritization, data network speed, virtual machine (VM)availability, type of network connectivity, load sharing, deviceavailability information derived from a user profile associated with thesecond consumer device, or a combination thereof, and wherein the devicecapability information includes processor capability, storagecapability, estimate for battery drain over time, other capabilityinformation derived from a make and model of the second consumer device,or a combination thereof, for non-limiting example.

The first consumer device may be a smart phone, tablet, laptop computer,desktop computer, or other portable or non-portable programmableconsumer electronic device capable of computation as well as receivingand sending data via a network for non-limiting example.

The second consumer device may be a smart phone, tablet, laptopcomputer, desktop computer, or other portable or non-portableprogrammable consumer electronic device capable of computation as wellas receiving and sending data via a network for non-limiting example.

According to another example embodiment, a computer-implemented methodfor cloud computing comprises managing a first end user request sentfrom a first end user device to a first cloud service provider system toperform a first computational job via cloud computing. The managing ofthe first end user request includes selecting a first consumer device toperform at least a portion of the first computational job and assigningthe at least a portion of the first computational job to the firstconsumer device selected. The computer-implemented method furthercomprises managing a second end user request sent from a second end userdevice to a second cloud service provider system to perform a secondcomputational job via cloud computing. The managing of the second enduser request includes selecting a second consumer device to perform atleast a portion of the second computational job and assigning the atleast a portion of the second computational job to the second consumerdevice selected. The first and second consumer devices may be differentor same consumer devices in a pool of consumer devices. The consumerdevices in the pool are allocated for use in cloud computing.

Further alternative method embodiments parallel those described above inconnection with the example liaison system embodiment.

According to another example embodiment, a non-transitorycomputer-readable medium has encoded thereon a sequence of instructionswhich, when loaded and executed by at least one processor, causes the atleast one processor to manage a first end user request sent from a firstend user device to a first cloud service provider system to perform afirst computational job via cloud computing. To manage the first enduser request, the sequence of instructions further causes the processorto select a first consumer device to perform at least a portion of thefirst computational job and assign the at least a portion of the firstcomputational job to the first consumer device selected. The sequence ofinstructions further causes the processor to manage a second end userrequest sent from a second end user device to a second cloud serviceprovider system to perform a second computational job via cloudcomputing. To manage the second end user request, the sequence ofinstructions further causes the processor to select a second consumerdevice to perform at least a portion of the second computational job andassign the at least a portion of the second computational job to thesecond consumer device selected. The first and second consumer devicesmay be different or same consumer devices in a pool of consumer devices.The consumer devices in the pool are allocated for use in cloudcomputing.

Alternative non-transitory computer-readable medium embodiments parallelthose described above in connection with the example liaison systemembodiment.

According to another example embodiment, a liaison system for cloudcomputing comprises means for managing a first end user request, sentfrom a first end user device to a first cloud service provider system toperform a first computational job via cloud computing. The managing ofthe first end user request includes selecting a first consumer device toperform at least a portion of the first computational job and assigningthe at least a portion of the first computational job to the firstconsumer device selected. The system further comprise means for managinga second end user request, sent from a second end user device to asecond cloud service provider system to perform a second computationaljob via cloud computing. The managing of the second end user requestincludes selecting a second consumer device to perform at least aportion of the second computational job and assigning the at least aportion of the second computational job to the second consumer deviceselected. The first and second consumer devices may be different or sameconsumer devices in a pool of consumer devices. The consumer devices inthe pool are allocated for use by the liaison system for the cloudcomputing.

It should be understood that example embodiments disclosed herein can beimplemented in the form of a method, apparatus, system, or computerreadable medium with program codes embodied thereon.

BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing will be apparent from the following more particulardescription of example embodiments, as illustrated in the accompanyingdrawings in which like reference characters refer to the same partsthroughout the different views. The drawings are not necessarily toscale, emphasis instead being placed upon illustrating embodiments.

FIG. 1 is a block diagram of an example embodiment of a system for cloudcomputing.

FIG. 2 is a block diagram of an example embodiment of a cloud computingenvironment.

FIG. 3 is a block diagram of an example embodiment of a consumer device.

FIG. 4 is a block diagram of an example embodiment of an apparatus.

FIG. 5 is a block diagram of another example embodiment of a cloudcomputing environment.

FIG. 6 is a block diagram of an example embodiment of a liaison systemfor cloud computing.

FIG. 7 is a table of an example embodiment of stake holders, theirpotential investment, and their potential return on investment (ROI)based on an employing an example embodiment disclosed herein.

FIG. 8 is a flow diagram of an example embodiment of acomputer-implemented method for cloud computing.

FIG. 9 is flow diagram of an example embodiment of acomputer-implemented method that may be implemented on a consumerdevice.

FIG. 10 is a flow diagram of an example embodiment of acomputer-implemented method that may be implemented on an end userdevice.

FIG. 11 is a flow diagram of another example embodiment of acomputer-implemented method for cloud computing.

FIG. 12 is a block diagram of an example internal structure of acomputer optionally within an embodiment disclosed herein.

DETAILED DESCRIPTION

A description of example embodiments follows.

Cloud computing refers to the distributed processing and storage over anetwork, where an application or a program is executed on multiplecomputers coupled in an arrangement. Though the processing and storagemay be implemented on different computing and storage resources that maybe geographically far apart, the processing and storage appears to auser, that is, an end user, as if implemented at one end point, which isloosely defined as the “cloud,” and such an implementation is referredto as “cloud computing.” Cloud computing is advantageous because itfacilitates the use of resources only when required and, thus, increasesthe possibility of resource sharing.

Cloud computing enables spontaneous scaling of resources according todemand and its “pay as you go” model helps fluctuating and unpredictablebusinesses. Cloud computing has further advantages in that it enables acloud user, referred to herein as an “end” user, to avoid upfrontinfrastructure cost and to further avoid information technology (IT)management and maintenance.

Logically, cloud services can be abstracted into three differentlayers—an infrastructure, platform, and application layer. Theinfrastructure layer includes the hardware resources required forproviding a cloud service, such as computers, storage, and networkresources for non-limiting example. The platform layer provides thecomputing environment that includes an operating system (OS), database,web servers, etc., for non-limiting example, which are typically tweaked(e.g., customized) for cloud computing. The application layer includessoftware and services which execute in the cloud computing environmentof a cloud service provider.

In a typical cloud computing industry operational process, end users,who wish to develop their own applications on the cloud, contact one ofthe many cloud service providers, also referred to herein as cloudinfrastructure providers, such as Amazon, Microsoft, IBM, etc., to hiretheir infrastructure (i.e., cloud platform), develop application(s)based on the hired cloud platform, and then deploy such application foruse. These infrastructures are not dedicated resources per end user. Anend user is not aware of the resources that are deployed for their use.Such deployed resources may change dynamically, which may not affect theend user's execution and the end user is not aware of same. The end useris charged by the cloud service provider for cloud resource and platformusage, at the end of a defined tenure.

On the other hand, cloud software/service providers either have theirown infrastructure or hire from other cloud infrastructure providers asmentioned above, to develop and deploy software, and provide software asa service (SaaS) to the end user. Examples of such cloudsoftware/service providers are enterprise resource planning (ERP)providers and customer relationship management (CRM) software providers,such as Salesforce. The end user, in this case, is also not aware ofsuch infrastructure deployment and can use the software unhindered. Evenin this case, the end user pays the cloud software provider a pricedepending on usage parameters, at the end of a defined tenure.

It is a cloud service provider's responsibility to ensure that there areenough computing resources at any time for executing the end user'sapplication. It is also the cloud service provider's responsibility toensure that the end user has the required platform that can deploy theinfrastructure resources needed by the end user. It is further the cloudservice provider's responsibility to delegate the end user's processingrequest to the right infrastructure, maintain the establishedinfrastructure to provide low downtime, build additional infrastructureto address the scaling needs of the end user, and to provide monitoringand dashboard support for end users.

An example embodiment disclosed herein advantageously utilizes widelyavailable private, low-power computing resources for cloud computing,such as smart phones for non-limiting example. Smart phone userscontinue to increase rapidly in number. It is estimated that there willbe 5.5 billion mobile phones by 2022, 90% of which will be smart phones(Robert Williams; “Forrester: Global mobile users to exceed 5.5B by2022;” published Jul. 18, 2017). An example embodiment disclosed hereinemploys private, consumer devices, such as high end smart phones andtablets for non-limiting example, for use as computing resources incloud computing.

According to an example embodiment, the owners of the consumer devices,such as smart phones for non-limiting example, can subscribe with thecloud infrastructure service providers, to lend their consumer devices(e.g., smart phones, tablets, laptop computers, desktop computers, orother portable or non-portable programmable consumer electronic devicescapable of computation as well as receiving and sending data via anetwork) to supplement the infrastructure network of a cloud serviceprovider for use as a cloud computing resource. The cloud serviceprovider, in return, shares a portion of profit, realized for using theconsumer device, with the lender of the consumer device. The portion ofthe profit may be shared in any suitable manner, such as a reduced billor monetary amount paid to the lender. As such, an example embodimentleverages the mostly unutilized power of dual core, quad core and octacore processing capabilities of consumer devices, such as smart phonesfor non-limiting example, that continue to be manufactured withincreasing random-access memory (RAM) capacity.

Conventionally, cloud service providers rely on their massiveestablishment of computers for processing. These have multiple inherentdisadvantages, which can be overcome via an example embodiment disclosedherein. For non-limiting example:

-   -   Conventionally, the cloud infrastructure includes massive,        high-end computers and servers grouped under one roof at        different geographic locations. Such high-end computers and        servers consume very high power and require large cooling        equipment. An example embodiment may employ a plurality of        consumer devices as cloud computing resources, such as low-power        smart phones and/or tablets for non-limiting example, and the        plurality of consumer devices may be distributed across        geographic locations as a grid. As such, an example embodiment        does not require large cooling equipment and contributes to        making the cloud greener than today.    -   An example embodiment enables spontaneous scaling of the cloud        processing infrastructure. Adding equipment to such        infrastructure typically requires upfront installation cost.        According to an example embodiment, however, as there is an        enormous base of consumer devices, such as smart phones of users        for non-limiting example, scaling of processing infrastructure        becomes simple. It is always available, whether it is used or        not.    -   Processing resources are typically available at different        defined facilities of cloud service providers. Adding to the        computing infrastructure typically results in related expenses,        such as real estate cost, cooling equipment cost, and        corresponding maintenance. Such related expenses are obviated by        employing an example embodiment disclosed herein.    -   There have been cases in which an end user's application has        been affected when a cloud service provider had to move its        entire facility or when such facility experienced an electrical        outage (Christophe C{acute over ( )}erin et al.; “Downtime        statistics of current cloud solutions;” June 2013 Update;        Telecom ParisTech yGalileo Institute z, Institut Mines-Telecom        ANDSI Alter Way Cedexis HSC Nexedi VIFIB DSI Groupe LaPoste). An        example embodiment enables the hired processing to be        distributed and multiple fallback options can be created using        additional consumer devices to obviate any disruption to the end        user's application.    -   Typically, cloud infrastructure providers spend a lot of money        in maintaining their computing resources. According to an        example embodiment, a consumer device, such as a smart phone for        non-limiting example, is lent from the smart phone owner (i.e.,        the lender) and, thus, no maintenance cost is incurred by the        cloud infrastructure provider to maintain the cloud computing        resource.    -   Typically, the cloud infrastructure needs to be powered ‘on’ or        in ‘standby,’ such that resources thereof are ready to handle        end users' requests at any given the time. This adds to the cost        of the cloud service providers power cost. An example embodiment        employs consumer devices, such as smart phones for non-limiting        example, which are powered on and ready for application        execution, and the power usage of such consumer devices does not        incur cost for the cloud service provider.    -   With the amount of processing infrastructure and storage        equipment typically required for establishing a cloud service,        only big giants, such as Amazon, IBM, Microsoft, Google, etc.,        who already have such facilities, can enter into this segment.        By employing an example embodiment disclosed herein, however,        since the computing infrastructure is hired by employing lender        consumer device resources, the cloud infrastructure can be        established at a reduced cost, enabling smaller entities, such        as a university for non-limiting example, to enter into this        segment.    -   On the other hand, the lenders of the consumer devices, such as        smart phone users for non-limiting example, who do not utilize        the entire processing capability of the processor(s) on the        consumer device, can make some additional money by lending it to        a cloud service provider for cloud computing.    -   Typically, the infrastructure deployed by one cloud service        provider is shared among different applications hosted by such        provider depending on the processing demand. By employing an        example embodiment disclosed herein, however, a single consumer        device, such as a smart phone for non-limiting example, can be        lent to more than one cloud service provider. Depending on the        processing capabilities of the single consumer device, more than        one process from different cloud platforms can be serviced by        the single consumer device. Hence, the processing infrastructure        gets shared, not only with the cloud, but across the cloud, such        as disclosed further below with regard to FIG. 5.    -   As the processing infrastructure is typically available only at        defined locations, all the end users' requests have to be        processed in any one of the cloud service provider's facilities        at the defined locations. According to an example embodiment,        however, as consumer devices, such as smart phones for        non-limiting example, are available across numerous geographic        locations, processing can be done at the closest available        consumer device to the end user device, thus reducing the        network usage for communications associated with such        processing, such as disclosed below with regard to FIG. 1.

FIG. 1 is a block diagram of an example embodiment of a system 102 forcloud computing. The system 102 is in a cloud computing environment 100of a cloud service provider, such as the cloud computing environment 200of FIG. 2, disclosed below.

FIG. 2 is a block diagram of an example embodiment of a cloud computingenvironment 200 of a cloud service provider (not shown). The cloudcomputing environment may be employed as the cloud computing environment100 of FIG. 1, disclosed above. The cloud computing environment 200includes an infrastructure layer 221, a platform layer 231, and anapplication layer 241. The infrastructure layer 221 includes thehardware resources required for providing a cloud service, such ascomputers 221 a, storage 221 b, and network resources 221 c fornon-limiting example. The platform layer 231 provides the computingenvironment that includes an operating system (OS) (not shown), database233, web servers (not shown), etc., for non-limiting example, which aretypically tweaked (e.g., customized) for cloud computing.

The application layer 241 includes software and services (241 a, 241 b,241 c, 241 d, 241 e) for non-limiting example, which execute in thecloud computing environment 200 of the cloud service provider. Accordingto an example embodiment, the infrastructure layer 221 is supplementedby consumer devices, such as the smart phone 210 a, tablet 210 b,desktop computer 210 c, server 210 d, and laptop computer 210 e fornon-limiting example. Such consumer devices are under lease tosupplement the infrastructure layer 221 in exchange for a portion of therespective profit realized based on usage of same, such as disclosedfurther below with regard to FIG. 1.

Referring back to FIG. 1, the system 102 in the cloud computingenvironment 100 comprises a cloud job manager 104 configured to managean end user request 106 to perform a computational job (not shown) viacloud computing. The end user request 106 is received from an end userdevice 108. The cloud job manager 104 is further configured to managethe end user request 106 by selecting a consumer device 110 to performat least a portion (not shown) of the computational job. The consumerdevice 110 selected may be a smart phone, tablet, laptop computer,desktop computer, or other portable or non-portable programmableconsumer electronic device capable of computation as well as receivingand sending data via a network, for non-limiting example.

The consumer device 110 is selected, at least in part, based on at leastone characteristic 112 of the consumer device 110 and proximity 114 ofthe consumer device 110 to the end user device 108. The cloud jobmanager 104 is further configured to manage the end user request 106 byassigning the at least a portion of the computational job to theconsumer device 110 selected by transmitting a job request 116 toperform the at least a portion of the computational job. The job request116 is transmitted to the consumer device selected. The cloud jobmanager 104 may select the consumer device 110 based on matching a giventype of compute processing of the at least a portion of thecomputational job to a type of resource of the consumer device 110,wherein the type of resource is known to be capable of performing thegiven type of compute processing.

The consumer device 110 may be selected from among a plurality ofconsumer devices (not shown) that are under lease agreement for use bythe system 102. The consumer device 110 selected meets respectivecriterion for the at least one characteristic 112 and is geographicallylocated closest to the end user device 108 relative to any otherconsumer device of the plurality of consumer devices meeting therespective criterion. The respective criterion may include availabilityof the consumer device, availability of a particular resource on theconsumer device, battery health, processor load, etc., or combinationthereof, for non-limiting example.

The consumer device 110 is closest as indicated by the proximity 114that may be computed by the cloud job manager 104 based on respectivelocation information received from the end user device 108 and theconsumer device 110. As such, along with other cost benefits to thecloud service provider (also referred to interchangeably herein as acloud provider) of the system 102, such as summarized above and in table700 of FIG. 7, disclosed further below, a networking bill of the cloudprovider can be reduced by employing the consumer device 110 instead ofrelying solely on resource(s) from its infrastructure facility toperform the at least a portion of the computational job of the end userrequest 106.

The system 102 may be a cloud service provider system of a cloud serviceprovider (not shown). The consumer device 102 selected may be alow-power computing device, lower in power usage relative to othercomputing devices available to the cloud service provider for use as aresource for cloud computing, such as the computing resources of theinfrastructure layer 221 of FIG. 2, disclosed above, for non-limitingexample.

Referring back to FIG. 1, the at least one characteristic 112 mayinclude, for non-limiting example, device health information, devicecapability information, or a combination thereof. The device healthinformation may include, for non-limiting example, resource utilization,battery power available, battery health, processor load, userapplication prioritization, data network speed, virtual machine (VM)availability, type of network connectivity, load sharing, deviceavailability information derived from a user profile associated with theconsumer device, or a combination thereof. The user profile may includesettings, such as a do-not-disturb on/off setting, a timetable definingwhen the consumer device may be employed for cloud computing, etc., orcombination thereof, for non-limiting example. The device capabilityinformation may include processor capability, storage capability,estimate for battery drain over time, other capability informationderived from a make and model of the consumer device, or a combinationthereof, for non-limiting example.

The cloud job manager 104 may be further configured to compute a profitestimate (not shown) that is determined to be effected by use of theconsumer device 110 for performing the at least a portion of thecomputational job. The cloud job manager 104 may be further configuredto select the consumer device 110 based on the profit estimate computed.The cloud job manager 104 may be further configured to compute acompensation amount (not shown) to be paid for use of the consumerdevice 110. The compensation amount may be computed based on the profitestimate determined. The cloud job manager 104 may be further configuredto select the consumer device 110 based on the compensation amountcomputed.

The cloud job manager 104 may be coupled to the consumer device 110 viaa communications channel, such as the communications channel 542 of FIG.5, disclosed further below. To assign the at least a portion of thecomputational job to the consumer device 110 selected, the cloud jobmanager 104 may be further configured to communicate, over thecommunications channel, with a client job manager of the consumer deviceselected, such as the client job manager 320 of FIG. 3, disclosedfurther below. The client job manager may be configured to spawn atleast one processing task on the consumer device 110 selected, such asthe processing task 322 disclosed further below with regard to FIG. 3.The at least one processing task may be configured to perform the atleast a portion of the computational job.

The cloud job manager 104 may be further configured to assign a jobidentifier (ID) (not shown) to the computational job. The cloud jobmanager 104 may be further configured to assign a sub-job ID (not shown)to the at least a portion of the computational job. The sub-job ID maybe associated with the job ID. The cloud job manager 104 may be furtherconfigured to associate the sub job ID with a device ID (not shown)associated with the consumer device 110 selected, track progress of thecomputational job, and associate an indicator (not shown) of theprogress tracked with the job ID.

The system may further comprise a data handler and data storage, such asthe data handler (546 a, 546 b) and data storage (547 a, 547 b)disclosed further below with regard to FIG. 5. The data handler may becoupled to the data storage and further coupled to the cloud job manager104. The data handler may be configured to fetch data, corresponding tothe sub job ID, from the data storage and forward the data fetched tothe cloud job manager 104. The cloud job manager 104 may be furtherconfigured to transmit the data fetched to the consumer device selected.Such data (not shown) may be included with the job request 116 ortransmitted separate from the job request 116. The data may betransmitted with the job ID, sub-job ID, or a combination thereof.

The system 102 may further comprise an application layer and a platformlayer, such as disclosed further below with regard to FIG. 5. Theplatform layer may be coupled to the application layer and the cloud jobmanager 104. The computational job may be a given computational jobamong a plurality of computational jobs delegated by the platform layerto the cloud job manager 104 for assigning to consumer devices, such asthe consumer device 110 selected.

The cloud job manager 104 may be further configured to assignidentifiers (IDs) to track a) assignment of the plurality ofcomputational jobs to respective consumer devices, the respectiveconsumer devices including the consumer device 110 selected, b) whichcomputational jobs of the plurality of computational jobs are split intorespective multiple smaller computational jobs, the respective multiplesmaller computational jobs assigned for processing in different or sameconsumer devices, c) which computational jobs of the plurality ofcomputational jobs are in progress, and d) which computational jobs ofthe plurality of computational jobs are queued for assignment torespective consumer devices.

The cloud job manager 104 may be further configured to monitor theproximity 114 of the consumer device 110 selected to the end user device108, monitor health of the consumer device 110 selected, and determinewhether to offload the at least a portion of the computational job fromthe consumer device 110 selected to another consumer device (not shown)based on the proximity 114 and health monitored.

To monitor the proximity 114 and health of the consumer device 110selected, the cloud job manager 104 may be further configured tocommunicate over a communications channel with a client job manager ofthe consumer device 110 selected, such as the client job manager 320disclosed further below with regard to FIG. 3. The health of theconsumer device 110 may include battery health, processor load, userapplication prioritization, data network speed, availability of avirtual machine, Wireless Fidelity (Wi-Fi) or data network status, or acombination thereof, for non-limiting example.

The cloud job manager 104 may be further configured to determine anamount of time for completing the at least a portion of thecomputational job and to select the consumer device 110 based on adetermination that the consumer device 110 is capable of completing theat least a portion of the computational job in the time determined. Thedetermination may be based on movement of the consumer device 110,likelihood of call drops of a communications channel for communicatingwith the consumer device 110, availability of battery power of theconsumer device 110, an estimate of time for the consumer device 110 tocomplete the at least a portion of the computational job, an estimate ofbattery usage by the consumer device 110 to complete the at least aportion of the computational job, or a combination thereof, fornon-limiting example.

The system 102 may further comprise an information database (not shown).The information database may be created by the system 102 duringoperation of the system 102. The information database may includeper-make-and-model battery characteristics of the consumer device 110.The cloud job manager 104 may be further configured to compute theestimate of battery usage based on the per-make-and-model batterycharacteristics of the consumer device 110.

The cloud job manager 104 may be further configured to track usageparameter(s) (not shown) associated with implementing the computationaljob. The usage parameters may include, for non-limiting example,per-device processor usage time used by the consumer device 110 selectedto perform the at least a portion of the computational job, per-processprocessor usage time used per-process executing on the consumer device110 selected to perform the at least a portion of the computational job,data network usage, or a combination thereof.

The cloud job manager 104 may be further configured to communicate in asecure manner with a client job manager of the consumer device 110selected, such as the client job manager 320 of FIG. 3, disclosedfurther below. The secure manner may include splitting data communicatedtherebetween into multiple sequences with respective sequence ID valuesassigned thereto and applying an encryption method to the multiplesequences. Such an encryption method may be any encryption method knownin the art. The cloud job manager 104 and client job manager may form apairing of job managers and the encryption method may be limited tointerpretation by the job managers in the pairing.

The cloud job manager 110 may be further configured to communicate withthe client job manager, of the consumer device 110 selected, to installa virtual operating system (OS) on the consumer device 110 selected. Toperform the at least a portion of the computational job, the client jobmanager may be configured to spawn at least one first process on thevirtual OS installed, spawn at least one second process on a native OSon the consumer device, or a combination thereof. An example embodimentof the client job manager is disclosed below with regard to FIG. 3.

FIG. 3 is a block diagram of an example embodiment a consumer device310. The consumer device 310 may be employed as the consumer device 110of FIG. 1, disclosed above, or as a consumer device of any exampleembodiment disclosed herein. The consumer device 310 comprises a clientjob manager 320 configured to spawn a processing task 322 on theconsumer device 310 responsive to a job request 316 to perform at leasta portion of a computational job (not shown). The computational job isrequested by an end user device, such as the end user device 108 of FIG.1, disclosed above, and is requested by the end device to be performedvia cloud computing. The consumer device 310 further comprises a networkinterface 324. The network interface 324 may be any network interfaceknown in the art that enables the consumer device 310 to transmit andreceived data over a network, such as a local area network (LAN), widearea network (WAN), cellular network (2G, 3G, 4G, LTE, 5G, etc.), or anyother wired network, wireless network, or combination thereof, fornon-limiting example.

The job request 316 is received via the network interface 324 from acloud job manager of a cloud service provider system of a cloud serviceprovider, such as the cloud job manager 104 of FIG. 1, disclosed above.The processing task 322 is configured to perform the at least a portionof the computational job. The consumer device 310 is selected by thecloud job manager based, at least in part, on proximity of the consumerdevice 310 to the end user device and at least one characteristic 312 ofthe consumer device 310. The client job manager 320 is furtherconfigured to communicate the at least one characteristic 312 to thecloud job manager via the network interface 324. The consumer device maybe a smart phone, tablet, laptop computer, desktop computer, or otherportable or non-portable programmable consumer electronic device capableof computation as well as receiving and sending data via a network fornon-limiting example.

The job request 316 may be received with a corresponding identifier (notshown) and data (not shown). The client job manager 320 may be furtherconfigured to associate the corresponding identifier received with theprocessing task spawned. The processing task 322 spawned may beconfigured to employ the data to perform the at least a portion of thecomputational job. The client job manager 320 may be further configuredto track the processing task 322 spawned and notify the cloud jobmanager via the network interface 324 of completion of the at least aportion of the computational job. As such, a respective cloud jobmanager, such as the cloud job manager 104 of FIG. 1, disclosed above,and the client job manager 320 may handshake, communicatively, over thenetwork interface 324 to enable the at least a portion of thecomputational job to be completed. In an event the at least a portion ofthe job cannot be started or completed as determined by client jobmanager 320 of the consumer device 310, the client job manager 320 mayinform the respective cloud job manager of same via the networkinterface 324. The client job manager 320 may be further configured totrack the processing task 322 spawned and transmit, via the networkinterface 324, information (not shown), collected from the processingtask 322 spawned, to the cloud job manager or a data handler coupled tothe cloud job manager, such as the data handler of FIG. 5, disclosedfurther below.

The client job manager 320 may be a given client job manager of aplurality of client job managers of the consumer device 320, such as theplurality of client job managers of the consumer device 510 a of FIG. 5,disclosed further below. The given client job manager, that is, theclient job manager 320, may be configured to employ security measures toensure that data integrity of data associated with the at least aportion of the computational job is maintained, such that another clientjob manager of the plurality of client job managers or another processof the consumer device 310 does not interfere with, tamper with, orcapture data associated with the at least a portion of the computationaljob.

The consumer device 310 may further comprise a processor, such as theprocessor 1266 of FIG. 12, disclosed further below. The client jobmanager 320 may be further configured to track usage parameter(s) (notshown) that are associated with implementing the at least a portion ofthe computational job. The usage parameter(s) may include, fornon-limiting example, total usage time of the processor, per-processusage time of the processor, data network usage, or a combinationthereof.

The at least one characteristic 312 may include, for non-limitingexample, device health information, device capability information, or acombination thereof. The device health information may include, fornon-limiting example, resource utilization, battery power available,battery health, processor load, user application prioritization, datanetwork speed, virtual machine (VM) availability, type of networkconnectivity, load sharing, device availability information derived froma user profile (not shown) associated with the consumer device 310, or acombination thereof for non-limiting example. The device capabilityinformation may include processor capability, storage capability,estimate for battery drain over time, other capability informationderived from a make and model of the consumer device, or a combinationthereof, for non-limiting example. The consumer device 310 may furthercomprise at least one subsystem, such as at least one subsystem of thesubsystems 551 a or 551 b disclosed further below with regard to FIG. 5.The at least one characteristic 312 may be obtained by the client jobmanager 320 from the at least one subsystem.

The client job manager 320 may be further configured to communicate in asecure manner with the cloud job manager over the network interface 324.The secure manner may include splitting data communicated therebetweeninto multiple sequences with respective sequence ID values assignedthereto and applying an encryption method to the multiple sequences. Thecloud job manager and client job manager 320 may form a pairing of jobmanagers and the encryption method may be limited to interpretation bythe job managers in the pairing. The encryption method may be anyencryption method known in the art.

As disclosed above, the processing task 322 executing on the consumerdevice 310 may be configured to perform at least a portion of thecomputational job requested by an end user device to be performed viacloud computing. FIG. 4, disclosed below, describes an exampleembodiment of an apparatus 408 that may be employed as such an end userdevice.

FIG. 4 is a block diagram of an example embodiment of an apparatus 408that may be employed as an end user device disclosed herein, such as theend user device 108 of FIG. 1, disclosed above. The apparatus 408 may bea smart phone, tablet, laptop computer, desktop computer, or otherportable or non-portable programmable consumer electronic device capableof computation as well as receiving and sending data via a network fornon-limiting example.

The apparatus 408 comprises a network interface 424 and a processor 466coupled to the network interface 424. The processor 466 is configured totransmit, via the network interface 424, an end user request 406 to acloud service provider system of a cloud service provider, such as thesystem 102 of FIG. 1, disclosed above. The processor 466 is furtherconfigured to transmit, via the network interface 424, locationinformation 425 of the apparatus 408 to the cloud service providersystem. The end user request 406 is for performing a computational job(not shown) via cloud computing.

At least a portion of the computational job is assigned to a consumerdevice selected by the cloud service provider system, such as theconsumer device 110 of FIG. 1, disclosed above. The consumer device isselected, at least in part, based on at least one characteristic of theconsumer device and proximity of the consumer device to the apparatus408. With reference to FIG. 1 and FIG. 4, the proximity 114 may bedetermined by the system 102 based on the location information 425transmitted by the apparatus 408 and respective location information(not shown) that may be transmitted from the consumer device 110.Further example embodiments of the consumer device 110 are disclosedbelow with regard to FIG. 5.

FIG. 5 is a block diagram of an example embodiment of a cloud computingenvironment 500. The cloud computing environment 500 includes a firstcloud service provider system 502 a and a second cloud service providersystem 502 b. The first cloud service provider system 502 a or thesecond cloud service provider system 502 b may be employed as the system102 of FIG. 1, disclosed above.

The first cloud service provider system 502 a includes a firstapplication layer 541 a, platform layer 531 a, first cloud job manager504 a, first data storage 547 a, and first data handler 546 a.Similarly, the second cloud service provider system 502 a includes asecond application layer 541 a, second platform layer 531 a, secondcloud job manager 504 a, second data storage 547 a, and second datahandler 546 a. The first cloud job manager 504 a or second cloud jobmanager 504 b may be configured such as the cloud job manager 104 ofFIG. 1, disclosed above

The first application layer 541 a and second application layer 541 bhost end users' applications, such as may be requested by the first enduser device 508 a or second end user device 508 b, respectively. Suchlayer remains more or less the same, as compared to conventional cloudimplementation. A respective application from such layer calls therelevant application specific interfaces (APIs) to interface with therespective platform layer (531 a, 531 b) as is known in the art.

The first platform layer 531 a interfaces between the first applicationlayer 541 a and a first infrastructure layer 521 a of the first cloudprovider system 502 a. The second platform layer 531 b interfacesbetween the second application layer 541 b and a second infrastructurelayer 521 b of the second cloud provider system 502 b. The firstinfrastructure layer 521 a and second infrastructure layer 521 b includerespective resources of the first cloud provider system 502 a and secondcloud provider system 502 b, respectively, as is known in the art asdisclosed above with regard to FIG. 2.

In the example embodiment of FIG. 5, however, such respective resourcescan be supplemented by consumer devices, such as the first consumerdevice 510 a and second consumer device 510 b, respectively. As such,respective controllers (not shown) of the first platform layer 531 a andsecond platform layer 531 b differ from conventional controllers ofplatform layers as such controllers are modified to be able to delegateat least a portion of computational jobs of end user requests, such asrespective computational jobs of the first end user request 506 a orsecond end user request 506 b, depending on whether the respectiverequested computation thereof can be performed, for example at lowercost, using a private, consumer device(s) of a lender(s), such as asmart phone or other consumer device disclosed herein, that may beallocated for use by a respective cloud service provider to supplementresources of such cloud service provider system, such as the first cloudprovider system 502 a or second cloud provider system 502 b.

As such, respective controller (not shown) of the first platform layer531 a or second platform layer 531 b may be configured to delegate atleast of portion of a computational job requested via the first end userrequest 506 a or second end user request 506 b to a resource(s) that mayinclude the first consumer device 510 a and/or second consumer device510 b. According to an example embodiment, respective controllers of thefirst platform layer 531 and second platform layer 531 b may employ thefirst cloud job manager 504 a or second cloud job manager 504 b,respectively, to get the computational job done.

For example, the respective controller of the first platform layer 531 amay delegate at least a portion of a first computational job (not shown)of the first end user request 506 a to the first cloud job manager 504a. Similarly, the respective controller of the second platform layer 531b may delegate at least a portion of a second computational job (notshown) of the second end user request 506 b to the second cloud jobmanager 504 b.

In the example embodiment of FIG. 5, there are two job managers who arepaired and hand shake with each other to get the job accomplished in anevent the at least a portion of the computational job is to be handledby a consumer device. The two job managers include a respective cloudjob manager of given cloud service provider system and a respectiveclient job manager of a consumer device, such as the cloud job manager104 and client job manager 320 disclose above with regard to FIG. 1 andFIG. 3, respectively.

In the paring of job managers, a cloud job manager (504 a, 504 b)delegates the job from the platform layer (531 a, 531 b). The other jobmanager, which is available in the consumer device, such as a smartphone for non-limiting example, is considered the “client” job manager.The cloud job manager, such as the first cloud job manager 504 a orsecond cloud job manager 504 b, interfaces with a consumer device, suchas the first consumer device 510 a or second consumer device 510 b, andfurther interfaces with a respective data handler, such as the firstdata handler 546 a or second data handler 546 b, respectively.

According to an example embodiment, the cloud job manager (5104 a, 504b) may assign IDs to identify jobs in order to track, for non-limitingexample, which job is delegated to which consumer device (510 a, 510 b),which job is being split into multiple smaller jobs and processed indifferent consumer devices (510 a, 510 b), which jobs are in progress,which are queued etc. This job ID (not shown) may also be communicatedto the data handler (546 a, 546 b), to fetch the corresponding data fromdata storage (547 a, 547 b) to be sent to the consumer device (510 a,510 b), if required.

According to an example embodiment, the cloud job manager (504 a, 504 b)may be configured to monitor different aspects related to delegation ofa job—such as keeping tabs on the proximity of the consumer device (510a, 510 b) to the end user device (508 a, 508 b), health of the consumerdevice (e.g., battery health, CPU load, user application prioritization,data network speed, available VMs, proximity of the phone, whether theconsumer device is on Wi-Fi or data network, etc.), load sharing, etc.,or combination thereof, for non-limiting example. According to anexample embodiment, the cloud job manager (504 a, 504 b) layer may beconfigured to predict whether it is possible to get a job completed ifassigned to a specific consumer device (510 a, 510 b) depending onvarious factors, such as the movement of the consumer device, thepossibility of call drops, the available battery power, the estimate ofthe time required to complete a job, etc., or combination thereof, fornon-limiting example.

The client job manager (520 a, 520 b-1, 520 b-2) assists the respectivecloud job manager (504 a, 504 b) from the respective consumer device(510 a, 510 b). The client job manager (520 a, 520 b-1, 520 b-2) mayreceive the respective job request (516 a, 516 b, 516 b′) with arespective ID and corresponding data (not shown), and spawn a newprocessing task (not shown) on the lower layers (not shown) in theconsumer device (510 a, 510 b). The client job manager (520 a, 520 b-1,520 b-2) may keep track of the spawned jobs, collecting and providingrequired information (515 a, 515 b, 515 b) to the appropriate cloud jobmanager (504 a, 504 b) and the data handler (546 a, 546 b), pairedthereto, at various times (e.g., periodically or intermittently).

The client job manager (520 a, 520 b-1, 520 b-2) may collect and furnishhealth information disclosed herein which may be obtained fornon-limiting example, at least in part, from respective differentsubsystems (511 a, 511 b) of the respective consumer device (510 a, 510b). Such subsystems may be any subsystem, such as a location sensorsubsystem or other subsystem, known in the art to be included in anelectronic subsystem of a consumer device.

According to an example embodiment, there can be more than one clientjob manager executing on a consumer device allocated for use by a cloudprovider system(s), such as the first client job manager 520 a andsecond client job manager 520 b-1 on the first consumer device 510 a,making it feasible for a single consumer device to be lent to more thanone cloud service provider. The client job managers (520 a, 520-b-1, 520b-2) may be built with enough security measures and data integrity, suchthat an irrelevant (e.g., non-paired) client job manager or any otherprocess does not interfere with, tamper with, or capture data associatedwith job managers in a cloud-job-manager to client-job-manager pairing.According to an example embodiment, both job managers in theloud-job-manager to client-job-manager pairing may keep track of usageparameters—such as CPU usage time per phone, per process, data networkusage, etc., for non-limiting example, that may be used for billing,contract, and dashboards use.

According to an example embodiment, a communications channel 542 betweenthe cloud platform, that is, the respective cloud service providersystem (502 a, 502 b) and a consumer device (510 a, 510 b) is theInternet made available through mobile service providers of 3G, 4G, 5Gnetworks or Wi-Fi networks for non-limiting example. According to anexample embodiment, an encrypted secure channel may be built to ensuredata integrity over the communications channel 542.

According to an example embodiment, respective processes (not shown)spawned on a respective consumer device (510 a, 510 b) to perform atleast a portion of a computational job delegated to the respectivedevice by a cloud service provider system (502 a, 502 b) may be spawnedon a native OS (519 a, 519 b) or virtual OS (517 a, 517 b) in therespective consumer device (510 a, 510 b).

As such, with reference to FIG. 1, FIG. 3, and FIG. 5, the cloud serviceprovider system 102 may be a first cloud service provider system 502 aof a first cloud service provider (not shown). The client job manager320 may be a first client job manager 520 a, the processing task 322 maybe a first processing task (not shown), the job request 316 may be afirst job request 516 a, the computational job (not shown) may be afirst computational job (not shown), and the end user device 108 may bea first end user device 508 a. The first computational job may berequested by the first end user device 508 a to be performed via cloudcomputing of the first cloud service provider.

The consumer device 110 may further comprise a second client job manager520 b-1. The second client job manager 520 b-1 may be configured tospawn a second processing task (not shown) on the consumer device 110responsive to a second job request 516 b′ to perform at least a portionof a second computational job (not shown). The second computational jobmay be requested by a second end user device 508 b to be performed viacloud computing of a second cloud service provider (not shown).

The second job request 516 b′ may be received from a second cloud jobmanager 504 b via the network interface 324 from a second cloud serviceprovider system 502 b of the second cloud service provider. The secondprocessing task may be configured to perform the at least a portion ofthe second computational job. The consumer device 110 may be selected bythe second cloud job manager 504 b based, at least in part, on proximityof the consumer device 110 to the second end user device 508 b and theat least one characteristic 112 of the consumer device 110. The secondclient job manager 520 b-1 may be further configured to communicate theat least one characteristic 112 to the second cloud job manager 504 bvia the network interface 324.

According to an example embodiment, the cloud job manager 104, firstcloud job manager 504 a, and second cloud job manager 504 b may beimplemented in a liaison system instead of the cloud provider system102, first cloud provider system 502 a, and second cloud provider system502 b, respectively. Such a liaison system is disclosed below, withregard to FIG. 6.

FIG. 6 is a block diagram of an example embodiment of a liaison system623 for cloud computing. Implementation of the liaison system 623enables a new ecosystem of cloud computing as disclosed herein. Theecosystem enables consumer devices to be shared among different cloudservice providers by including a cloud job manager 604 that interfaceswith, for example, respective controllers of platform layers of cloudservice provider systems and, as such, may serve as a common cloud jobmanager that can gather intelligence of attributes and state of consumerdevices allocated for use by such subscribers and handle jobs delegatedfrom the cloud service provider systems to such consumer devices. Theliaison system 623 comprises a cloud job manager 604 coupled to a firstcloud service provider system 602 a, a second cloud service providersystem 602 b, and a pool 627 of consumer devices. The consumer devicesin the pool 627, such as the first consumer device 610 a and secondconsumer device 610 b, are allocated for use by the liaison system 623for cloud computing. The cloud job manager 604 is configured to manage afirst end user request 606 a sent from a first end user device 608 a tothe first cloud service provider system 602 a to perform a firstcomputational job (not shown) via cloud computing.

To manage the first end user request 606 a, the cloud job manager 604 isfurther configured to select the first consumer device 610 a to performat least a portion of the first computational job and assign the atleast a portion of the first computational job to the first consumerdevice 610 a selected, for example, by transmitting a first job request616 a to the first consumer device 610 a. The cloud job manager 604 isfurther configured to manage a second end user request 606 b sent from asecond end user device 608 b to the second cloud service provider system602 b to perform a second computational job (not shown) via cloudcomputing.

To manage the second end user request 606 b, the cloud job manager 604is further configured to select the second consumer device 610 b toperform at least a portion of the second computational job and assignthe at least a portion of the second computational job to the secondconsumer device 610 b selected. The first consumer device 610 a andsecond consumer device 610 b may be different or same consumer devicesfrom the pool 627 of consumer devices.

The first consumer device 610 a may be selected, at least in part, basedon at least one characteristic 612 a of the first consumer device 610 aand a first proximity 614 a of the first consumer device 610 a to thefirst end user device 608 a. The at least one characteristic 612 a ofthe first consumer device 610 a may include device health information,device capability information, or a combination thereof, fornon-limiting example. The device health information may include resourceutilization, battery power available, battery health, processor load,user application prioritization, data network speed, virtual machine(VM) availability, type of network connectivity, load sharing, deviceavailability information derived from a user profile associated with thefirst consumer device 610 a, or a combination thereof, for non-limitingexample. The device capability information may include processorcapability, storage capability, estimate for battery drain over time,other capability information derived from a make and model of the firstconsumer device 610 a, or a combination thereof, for non-limitingexample.

The second consumer device 610 b may be selected, at least in part,based on at least one characteristic 612 b of the second consumer device610 b and a second proximity 614 b of the second consumer device 610 bto the second end user device 608 b. The at least one characteristic 612b of the second consumer device 610 b may include device healthinformation, device capability information, or a combination thereof,for non-limiting example. The device health information may includeresource utilization, battery power available, battery health, processorload, user application prioritization, data network speed, virtualmachine (VM) availability, type of network connectivity, load sharing,device availability information derived from a user profile associatedwith the second consumer device, or a combination thereof, fornon-limiting example. The device capability information may includeprocessor capability, storage capability, estimate for battery drainover time, other capability information derived from a make and model ofthe second consumer device, or a combination thereof, for non-limitingexample.

The first consumer device 610 a may be a smart phone, tablet, laptopcomputer, desktop computer, or other portable or non-portableprogrammable consumer electronic device capable of computation as wellas receiving and sending data via a network for non-limiting example.The second consumer device 610 b may be a smart phone, tablet, laptopcomputer, desktop computer, or other portable or non-portableprogrammable consumer electronic device capable of computation as wellas receiving and sending data via a network for non-limiting example.

As such, with the cloud job manager 604 of the liaison system 623, thecloud job manager of the private cloud, such as the cloud job manager104 of FIG. 1 or cloud job manager (504 a, 504 b) of FIG. 5, has beenmoved out of the private cloud and made common. As such, the liaisonsystem 623 may be implemented, maintained and controlled by a separatebusiness entity, that is, a liaison entity. With this variance, theliaison system 623 represents a layer that becomes common across cloudsand the client job manager also becomes common for all clouds.

Use Case Scenarios

An example embodiment can be deployed in cases where the end user is notpicky about the infrastructure where the data is processed orcomputations are done. Some non-limiting example use cases of suchscenarios are back end processing for social networking sites, analyticsfor such social networking sites, analytics for news websites andmagazine, computation and processing required for educational websitesand tools, meteorological computations for different weather forecastsproviders, etc.

According to an example embodiment, a small and medium enterprise (SME)can take advantage of an example embodiment as cloud infrastructure.

According to an example embodiment a SME and universities can run aminiature cloud using e.g., the smart phone infrastructure availablewithin their premises and local network (e.g., using Wi-Fi) and leveragehigher computing power.

According to an example embodiment, an example embodiment may beemployed in a miniature cloud that can be hosted for gaming enthusiastswith data storage and a main processing hub which uses the smart phonesas processing infrastructure and cloud games for small groups can beestablished.

Security Aspects

In addition to the security of data over the network, an exampleembodiment keeps the data unexposed inside the consumer device, such asa smart phone for non-limiting example and, as such, prevents the datafrom being shared to a different cloud. The cloud job manager and clientjob manager may utilize a pairing mechanism between the cloud platformand the consumer device (e.g., smart phone). Data may be sent betweenthe paired devices in multiple sequences with a sequence id and specialencryption methods which can be interpreted only by the correspondingjob managers which are paired, such as disclosed above.

Eco System Development

An example embodiment disclosed herein brings innovative developmentswhich will create a complete Eco System on their own. As a non-limitingexample, the development of a virtual machine for different smart phoneOSs will open up new possibilities and use case scenarios by themselves.New kinds of platform and language independent computation can bethought of, where the end user at the application layer only writes theapplication in common computational language and it is converted intolanguage that is available in the framework and the OS available in thesmart phone. This creates opportunity to develop cloud and smart phonesubsystem monitoring tools, which gives rise to big data on usagepatterns of the smart phones across the globe.

According to an example embodiment, miniature clouds can be created andmaintained within private premises and hosted and maintained within anetwork, supplementing their own computing needs.

Business Aspects

FIG. 7 is a table 700 of an example embodiment of stake holders 792,their potential investment 794, and their potential return on investment(ROI) 796 based on an employing an example embodiment disclosed herein.It should be understood that the respective summaries of the potentialinvestment 794 and potential ROI 796 in the table 700 are fornon-limiting example.

The stake holders 792 include a cloud provider. The cloud provider is astake holder because these are the providers of cloud infrastructure,who deploy their resources to get the end user application executed. Thestake holders 792 include a consumer device (e.g., smart phone) lender.Such a lender is a stake holder because these are the providers of theconsumer devices (e.g., smart phones, tablets, etc.) for the use as thecomputing resource. The stake holders 792 include a cloud end user. Thecloud end user is a stake holder because these are the users of thecloud to run their applications.

The stake holders 792 further include a middle liaison. These are thenew kind of business entity, disclosed above with regard to FIG. 6,which can be introduced with the implementation of an example embodimentthereof. The middle liaison can independently implement and provide thejob handling layer, namely the cloud mob manager 604 of FIG. 6,disclosed above. With this entity, the job handling layer becomes commonfor all cloud with changes only to the interfaces. This business entityevolves the monitoring and job handling processes and improves it, sothat the job execution rate is 100%. This entity handles the pool ofsmart phones lent, their licensing needs if any, and distributes thecomputation and ensures that the job requested by the cloud is 100%complete, such as the computational job disclosed below with regard toFIG. 8.

FIG. 8 is a flow diagram 800 of an example embodiment of acomputer-implemented method for cloud computing. Thecomputer-implemented method begins (802) and manages an end user requestfrom an end user device to perform a computational job via cloudcomputing (804). To manage the end user request, thecomputer-implemented method (i) selects a consumer device to perform atleast a portion of the computational job, the consumer device selected,at least in part, based on at least one characteristic of the consumerdevice and proximity of the consumer device to the end user device(806), and (ii) assigns the at least a portion of the computational jobto the consumer device selected by transmitting a job request to performthe at least a portion of the computational job, the job requesttransmitted to the consumer device selected (808). Thecomputer-implemented method thereafter ends (810) in the exampleembodiment.

The selecting may include selecting the consumer device from among aplurality of consumer devices under lease agreement for use by a cloudservice provider system of a cloud service provider. The consumer deviceselected meets respective criterion for the at least one characteristicand is geographically located closest to the end user device relative toany other consumer device of the plurality of consumer devices meetingthe respective criterion.

The computer-implemented method may further comprise computing a profitestimate effected by use of the consumer device for performing the atleast a portion of the computational job and selecting the consumerdevice based on the profit estimate computed. The computer-implementedmethod may further comprise computing a compensation amount to be paidfor use of the consumer device, the compensation amount computed basedon the profit estimate determined and selecting the consumer devicebased on the compensation amount computed.

The assigning may include communicating, over a communications channel,with a client job manager of the consumer device selected. The assigningcauses the client job manager to spawn at least one processing task onthe consumer device selected. The at least one processing task performsthe at least a portion of the computational job.

The computer-implemented method may further comprise assigning a jobidentifier (ID) to the computational job, assigning a sub-job ID to theat least a portion of the computational job, the sub-job ID associatedwith the job ID, associating the sub-job ID with a device ID associatedwith the consumer device selected, and tracking progress of thecomputational job and associating an indicator of the progress trackedwith the job ID.

The computer-implemented method may further comprise fetching data,corresponding to the sub-job ID, from a data storage and transmittingthe data fetched to the consumer device selected.

The computational job may be a given computational job among a pluralityof computational jobs for assigning to consumer devices. Thecomputer-implemented method may further comprise assigning identifiers(IDs) and employing the IDs assigned for tracking a) assignment of theplurality of computational jobs to respective consumer devices, therespective consumer devices including the consumer device selected, b)which computational jobs of the plurality of computational jobs aresplit into respective multiple smaller computational jobs, therespective multiple smaller computational jobs assigned for processingin different or same consumer devices, c) which computational jobs ofthe plurality of computational jobs are in progress, and d) whichcomputational jobs of the plurality of computational jobs are queued forassignment to respective consumer devices.

The computer-implemented method may further comprise monitoring theproximity of the consumer device selected to the end user device,monitoring health of the consumer device selected, and determiningwhether to offload the at least a portion of the computational job fromthe consumer device selected to another consumer device based on theproximity and health monitored. Monitoring the proximity and health ofthe consumer device selected may include communicating over acommunications channel with a client job manager of the consumer deviceselected.

The computer-implemented method may further comprise determining anamount of time for completing the at least a portion of thecomputational job and selecting the consumer device based on adetermination that the consumer device is capable of completing the atleast a portion of the computational job in the time determined. Thecomputer-implemented method may further comprise basing thedetermination on movement of the consumer device, likelihood of calldrops of a communications channel for communicating with the consumerdevice, availability of battery power of the consumer device, anestimate of time for the consumer device to complete the at least aportion of the computational job, an estimate of battery usage by theconsumer device to complete the at least a portion of the computationaljob, or a combination thereof, for non-limiting example.

The computer-implemented method may further comprise computing theestimate of battery usage based on the per-make-and-model consumerdevice battery characteristics of the consumer device.

The computer-implemented method may further comprise tracking usageparameters associated with implementing the computational job. The usageparameters may include a) per-device processor usage time used by theconsumer device selected to perform the at least a portion of thecomputational job, b) per-process processor usage time used per-processexecuting on the consumer device selected to perform the at least aportion of the computational job, c) data network usage, or d) acombination of a-c, for non-limiting example.

The computer-implemented method may further comprise communicating in asecure manner with a client job manager of the consumer device selected.The secure manner may include splitting data communicated therebetweeninto multiple sequences with respective sequence ID values assignedthereto and applying an encryption method to the multiple sequences.

The computer-implemented method may further comprise communicating witha client job manager, of the consumer device selected, to install avirtual operating system (OS) on the consumer device selected. Thecomputer-implemented method may further comprise causing the client jobmanager to spawn at least one first process on the virtual OS installed,spawn at least one second process on a native OS on the consumer device,or spawn a combination thereof, to perform the at least a portion of thecomputational job.

FIG. 9 is flow diagram 900 of an example embodiment of acomputer-implemented method. The computer-implemented method begins(902) and communicates, via a network interface of a consumer device, atleast one characteristic of the consumer device to a cloud job managerof a cloud service provider system of a cloud service provider (904).The computer-implemented method spawns a processing task on the consumerdevice responsive to a job request, the job request received via thenetwork interface from the cloud job manager, the job request to performat least a portion of a computational job (904). The computational jobis requested by an end user device to be performed via cloud computing.The consumer device is selected by the cloud job manager based, at leastin part, on proximity of the consumer device to the end user device andthe at least one characteristic communicated. The computer-implementedmethod performs, by the processing task spawned, the at least a portionof the computational job (908) and the computer-implemented methodthereafter ends (910) in the example embodiment.

The computer-implemented method may further comprise receiving the jobrequest with a corresponding identifier and data, associating thecorresponding identifier received with the processing task spawned, andemploying the data in the processing task spawned to perform the atleast a portion of the computational job.

The computer-implemented method may further comprise tracking theprocessing task spawned and notifying the cloud job manager via thenetwork interface of completion of the at least a portion of thecomputational job. The tracking may include collecting information fromthe processing task spawned and transmitting, via the network interface,the information collected to the cloud job manager or a data handlercoupled to the cloud job manager.

The computer-implemented method may further comprise employing securitymeasures to ensure data integrity of data associated with the at least aportion of the computational job is maintained such that another processof the consumer device does not interfere with, tamper with, or capturedata associated with the at least a portion of the computational job.

The computer-implemented method may further comprise tracking usageparameters associated with implementing the at least a portion of thecomputational job. The usage parameters may include, for non-limitingexample, processor usage time, per-process processor usage time, datanetwork usage, or a combination thereof.

The computer-implemented method may further comprise obtaining the atleast one characteristic from at least one subsystem of the consumerdevice.

The computer-implemented method may further comprise communicating, in asecure manner, with the cloud job manager over the network interface.The secure manner may include splitting data communicated therebetweeninto multiple sequences with respective sequence ID values assignedthereto and applying an encryption method to the multiple sequences.

The cloud job manager may be a first cloud job manager, the cloudservice provider system may be a first cloud service provider system ofa first cloud service provider, the processing task may be a firstprocessing task, the job request may be a first job request, thecomputational job may be a first computational job, the end user devicemay be a first end user device, and the first computational job may berequested by the first end user device to be implemented by the firstcloud service provider via cloud computing. The computer-implementedmethod may further comprise communicating, via the network interface ofthe consumer device, the at least one characteristic of the consumerdevice to a second cloud job manager of a second cloud service providersystem of a second cloud service provider. The computer-implementedmethod may further comprise spawning a second processing task on theconsumer device responsive to a second job request to perform at least aportion of a second computational job. The second computational job maybe requested by a second end user device to be implemented by the secondcloud service provider via cloud computing. The second job request maybe received from the second cloud job manager via the network interface.The computer-implemented method may further comprise performing, by thesecond processing task, the at least a portion of the secondcomputational job. The consumer device may be selected by the secondcloud job manager based, at least in part, on proximity of the consumerdevice to the second end user device and the at least one characteristiccommunicated.

FIG. 10 is a flow diagram 1000 of an example embodiment of acomputer-implemented method. The computer-implemented method begins(1002) and transmits, via a network interface, location information ofan end user device to a cloud service provider system of a cloud serviceprovider (1004). The computer-implemented method transmits, via thenetwork interface, an end user request to the cloud service providersystem (1006). The end user request is a request for performing acomputational job via cloud computing. At least a portion of thecomputational job is assigned to a consumer device selected by the cloudservice provider system. The consumer device is selected, at least inpart, based on at least one characteristic of the consumer device andproximity of the consumer device to the end user device. The proximityis determined by the cloud service provider system based on the locationinformation transmitted. The computer-implemented method thereafter ends(1008) in the example embodiment.

FIG. 11 is a flow diagram of an example embodiment of acomputer-implemented method for cloud computing. Thecomputer-implemented method begins (1102) and manages a first end userrequest sent from a first end user device to a first cloud serviceprovider system to perform a first computational job via cloudcomputing, the managing of the first end user request includes selectinga first consumer device to perform at least a portion of the firstcomputational job and assigning the at least a portion of the firstcomputational job to the first consumer device selected (1104). Thecomputer-implemented method manages a second end user request sent froma second end user device to a second cloud service provider system toperform a second computational job via cloud computing, the managing ofthe second end user request includes selecting a second consumer deviceto perform at least a portion of the second computational job andassigning the at least a portion of the second computational job to thesecond consumer device selected (1106). The first and second consumerdevices may be different or same consumer devices in a pool of consumerdevices. Th consumer devices in the pool are allocated for use in cloudcomputing. The method thereafter ends (1108) in the example embodiment.

The computer-implemented method may further comprise selecting the firstconsumer device based, at least in part, on at least one characteristicof the first consumer device and proximity of the first consumer deviceto the first end user device. The computer-implemented method mayfurther comprise selecting the second consumer device based, at least inpart, on at least one characteristic of the second consumer device andproximity of the second consumer device to the second end user device.

FIG. 12 is a block diagram of an example of the internal structure of acomputer 1200 in which various embodiments of the present disclosure maybe implemented. The computer 1200 contains a system bus 1252, where abus is a set of hardware lines used for data transfer among thecomponents of a computer or digital processing system. The system bus1252 is essentially a shared conduit that connects different elements ofa computer system (e.g., processor, disk storage, memory, input/outputports, network ports, etc.) that enables the transfer of informationbetween the elements. Coupled to the system bus 1252 is an I/O deviceinterface 1254 for connecting various input and output devices (e.g.,keyboard, mouse, display monitors, printers, speakers, etc.) to thecomputer 1200. A network interface 1256 allows the computer 1200 toconnect to various other devices attached to a network (e.g., globalcomputer network, wide area network, local area network, etc.). Memory1258 provides volatile or non-volatile storage for computer softwareinstructions 1260 and data 1262 that may be used to implementembodiments (e.g., methods of the flow diagrams 800, 900, 1000, and1100) of the present disclosure, where the volatile and non-volatilememories are examples of non-transitory media. Disk storage 1264provides non-volatile storage for computer software instructions 1260and data 1262 that may be used to implement embodiments (e.g., methodsof the flow diagrams 800, 900, 1000, and 1100) of the presentdisclosure. A central processor unit 1266 is also coupled to the systembus 1252 and provides for the execution of computer instructions.

As used herein, the term “manager” or “layer” may refer to any hardware,software, firmware, electronic control component, processing logic,and/or processor device, individually or in any combination, includingwithout limitation: an application specific integrated circuit (ASIC), afield-programmable gate-array (FPGA), an electronic circuit, a processorand memory that executes one or more software or firmware programs,and/or other suitable components that provide the describedfunctionality. According to a non-limiting example embodiment, a“manager” or “layer” may include at least one processor and at least onememory with computer code instructions stored thereon. The at least oneprocessor and the at least one memory, with computer code instructions,may be configured to cause the manager or layer to perform itsrespective configured functions.

Example embodiments disclosed herein may be configured using a computerprogram product; for example, controls may be programmed in software forimplementing example embodiments. Further example embodiments mayinclude a non-transitory computer-readable medium containinginstructions that may be executed by a processor, and, when loaded andexecuted, cause the processor to complete methods described herein. Itshould be understood that elements of the block and flow diagrams may beimplemented in software or hardware, such as via one or morearrangements of circuitry of FIG. 12, disclosed above, or equivalentsthereof, firmware, a combination thereof, or other similarimplementation determined in the future.

In addition, the elements of the block and flow diagrams describedherein may be combined or divided in any manner in software, hardware,or firmware. If implemented in software, the software may be written inany language that can support the example embodiments disclosed herein.The software may be stored in any form of computer readable medium, suchas random access memory (RAM), read only memory (ROM), compact diskread-only memory (CD-ROM), and so forth. In operation, a general purposeor application-specific processor or processing core loads and executessoftware in a manner well understood in the art. It should be understoodfurther that the block and flow diagrams may include more or fewerelements, be arranged or oriented differently, or be representeddifferently. It should be understood that implementation may dictate theblock, flow, and/or network diagrams and the number of block and flowdiagrams illustrating the execution of embodiments disclosed herein.

The teachings of all patents, published applications and referencescited herein are incorporated by reference in their entirety.

While example embodiments have been particularly shown and described, itwill be understood by those skilled in the art that various changes inform and details may be made therein without departing from the scope ofthe embodiments encompassed by the appended claims.

What is claimed is:
 1. A liaison system for cloud computing, the liaisonsystem comprising: a cloud job manager coupled to a first cloud serviceprovider system, a second cloud service provider system, and a pool ofconsumer devices allocated for use by the liaison system for cloudcomputing, the cloud job manager configured to: manage a first end userrequest sent from a first end user device to the first cloud serviceprovider system to perform a first computational job via cloud computingand, to manage the first end user request, the cloud job manager furtherconfigured to select a first consumer device to perform at least aportion of the first computational job and assign the at least a portionof the first computational job to the first consumer device selected;and manage a second end user request sent from a second end user deviceto the second cloud service provider system to perform a secondcomputational job via cloud computing and, to manage the second end userrequest, the cloud job manager further configured to select a secondconsumer device to perform at least a portion of the secondcomputational job and assign the at least a portion of the secondcomputational job to the second consumer device selected, wherein thefirst and second consumer devices are different or same consumer devicesfrom the pool of consumer devices.
 2. The liaison system of claim 1,wherein the first consumer device is selected, at least in part, basedon at least one characteristic of the first consumer device andproximity of the first consumer device to the first end user device. 3.The liaison system of claim 2, wherein the at least one characteristicincludes device health information, device capability information, or acombination thereof.
 4. The liaison system of claim 3, wherein thedevice health information includes resource utilization, battery poweravailable, battery health, processor load, user applicationprioritization, data network speed, virtual machine (VM) availability,type of network connectivity, load sharing, device availabilityinformation derived from a user profile associated with the firstconsumer device, or a combination thereof, and wherein the devicecapability information includes processor capability, storagecapability, estimate for battery drain over time, other capabilityinformation derived from a make and model of the first consumer device,or a combination thereof.
 5. The liaison system of claim 1, wherein thesecond consumer device is selected, at least in part, based on at leastone characteristic of the second consumer device and proximity of thesecond consumer device to the second end user device.
 6. The liaisonsystem of claim 5, wherein the at least one characteristic includesdevice health information, device capability information, or acombination thereof.
 7. The liaison system of claim 6, wherein thedevice health information includes resource utilization, battery poweravailable, battery health, processor load, user applicationprioritization, data network speed, virtual machine (VM) availability,type of network connectivity, load sharing, device availabilityinformation derived from a user profile associated with the secondconsumer device, or a combination thereof, and wherein the devicecapability information includes processor capability, storagecapability, estimate for battery drain over time, other capabilityinformation derived from a make and model of the second consumer device,or a combination thereof.
 8. The liaison system of claim 1, wherein thefirst consumer device is a smart phone, tablet, laptop computer, desktopcomputer, or other portable or non-portable programmable consumerelectronic device capable of computation as well as receiving andsending data via a network.
 9. The liaison system of claim 1, whereinthe second consumer device is a smart phone, tablet, laptop computer,desktop computer, or other portable or non-portable programmableconsumer electronic device capable of computation as well as receivingand sending data via a network.
 10. A computer-implemented method forcloud computing, the computer-implemented method comprising: managing afirst end user request sent from a first end user device to a firstcloud service provider system to perform a first computational job viacloud computing, the managing of the first end user request includingselecting a first consumer device to perform at least a portion of thefirst computational job and assigning the at least a portion of thefirst computational job to the first consumer device selected; andmanaging a second end user request sent from a second end user device toa second cloud service provider system to perform a second computationaljob via cloud computing, the managing of the second end user requestincluding selecting a second consumer device to perform at least aportion of the second computational job and assigning the at least aportion of the second computational job to the second consumer deviceselected, wherein the first and second consumer devices are different orsame consumer devices in a pool of consumer devices allocated for use incloud computing.
 11. The computer-implemented method of claim 10,further comprising selecting the first consumer device based, at leastin part, on at least one characteristic of the first consumer device andproximity of the first consumer device to the first end user device. 12.The computer-implemented method of claim 11, wherein the at least onecharacteristic includes device health information, device capabilityinformation, or a combination thereof.
 13. The computer-implementedmethod of claim 11, wherein the device health information includesresource utilization, battery power available, battery health, processorload, user application prioritization, data network speed, virtualmachine (VM) availability, type of network connectivity, load sharing,device availability information derived from a user profile associatedwith the first consumer device, or a combination thereof, and whereinthe device capability information includes processor capability, storagecapability, estimate for battery drain over time, other capabilityinformation derived from a make and model of the first consumer device,or a combination thereof.
 14. The computer-implemented method of claim10, further comprising selecting the second consumer device based, atleast in part, on at least one characteristic of the second consumerdevice and proximity of the second consumer device to the second enduser device.
 15. The computer-implemented method of claim 14, whereinthe at least one characteristic includes device health information,device capability information, or a combination thereof.
 16. Thecomputer-implemented method of claim 15, wherein the device healthinformation includes resource utilization, battery power available,battery health, processor load, user application prioritization, datanetwork speed, virtual machine (VM) availability, type of networkconnectivity, load sharing, device availability information derived froma user profile associated with the second consumer device, or acombination thereof, and wherein the device capability informationincludes processor capability, storage capability, estimate for batterydrain over time, other capability information derived from a make andmodel of the second consumer device, or a combination thereof.
 17. Thecomputer-implemented method of claim 10, wherein the first consumerdevice is a smart phone, tablet, laptop computer, desktop computer, orother portable or non-portable programmable consumer electronic devicecapable of computation as well as receiving and sending data via anetwork.
 18. The computer-implemented method of claim 10, wherein thesecond consumer device is a smart phone, tablet, laptop computer,desktop computer, or other portable or non-portable programmableconsumer electronic device capable of computation as well as receivingand sending data via a network.
 19. A non-transitory computer-readablemedium having encoded thereon a sequence of instructions which, whenloaded and executed by at least one processor, causes the at least oneprocessor: manage a first end user request sent from a first end userdevice to a first cloud service provider system to perform a firstcomputational job via cloud computing and, to manage the first end userrequest, the sequence of instructions further causes the processor toselect a first consumer device to perform at least a portion of thefirst computational job and assign the at least a portion of the firstcomputational job to the first consumer device selected; and manage asecond end user request sent from a second end user device to a secondcloud service provider system to perform a second computational job viacloud computing and, to manage the second end user request, the sequenceof instructions further causes the processor to select a second consumerdevice to perform at least a portion of the second computational job andassign the at least a portion of the second computational job to thesecond consumer device selected, wherein the first and second consumerdevices are different or same consumer devices in a pool of consumerdevices allocated for use in cloud computing.
 20. A liaison system forcloud computing, the liaison system comprising: means for managing afirst end user request, sent from a first end user device to a firstcloud service provider system to perform a first computational job viacloud computing, the managing of the first end user request includingselecting a first consumer device to perform at least a portion of thefirst computational job and assigning the at least a portion of thefirst computational job to the first consumer device selected; and meansfor managing a second end user request, sent from a second end userdevice to a second cloud service provider system to perform a secondcomputational job via cloud computing, the managing of the second enduser request including selecting a second consumer device to perform atleast a portion of the second computational job and assigning the atleast a portion of the second computational job to the second consumerdevice selected, wherein the first and second consumer devices aredifferent or same consumer devices in a pool of consumer devicesallocated for use by the liaison system for the cloud computing.